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For: Mooney KM, Morgan AE, Mc Auley MT. Aging and computational systems biology. Wiley Interdiscip Rev Syst Biol Med 2016;8:123-39. [PMID: 26825379 DOI: 10.1002/wsbm.1328] [Cited by in Crossref: 22] [Cited by in F6Publishing: 16] [Article Influence: 3.7] [Reference Citation Analysis]
Number Citing Articles
1 Mc Auley MT. The Interplay Between Cholesterol Metabolism and Intrinsic Ageing. In: Harris JR, Korolchuk VI, editors. Biochemistry and Cell Biology of Ageing: Part I Biomedical Science. Singapore: Springer; 2018. pp. 99-118. [DOI: 10.1007/978-981-13-2835-0_4] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
2 Mc Auley MT, Mooney KM, Salcedo-Sora JE. Computational modelling folate metabolism and DNA methylation: implications for understanding health and ageing. Brief Bioinform 2018;19:303-17. [PMID: 28007697 DOI: 10.1093/bib/bbw116] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
3 Smita S, Lange F, Wolkenhauer O, Köhling R. Deciphering hallmark processes of aging from interaction networks. Biochim Biophys Acta 2016;1860:2706-15. [PMID: 27456767 DOI: 10.1016/j.bbagen.2016.07.017] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 1.2] [Reference Citation Analysis]
4 Hoffman TE, Barnett KJ, Wallis L, Hanneman WH. A multimethod computational simulation approach for investigating mitochondrial dynamics and dysfunction in degenerative aging. Aging Cell 2017;16:1244-55. [PMID: 28815872 DOI: 10.1111/acel.12644] [Cited by in Crossref: 13] [Cited by in F6Publishing: 10] [Article Influence: 2.6] [Reference Citation Analysis]
5 Aghasafari P, George U, Pidaparti R. A review of inflammatory mechanism in airway diseases. Inflamm Res 2019;68:59-74. [PMID: 30306206 DOI: 10.1007/s00011-018-1191-2] [Cited by in Crossref: 57] [Cited by in F6Publishing: 58] [Article Influence: 14.3] [Reference Citation Analysis]
6 Pavlopoulou A, Asfa S, Gioukakis E, Mavragani IV, Nikitaki Z, Takan I, Pouget JP, Harrison L, Georgakilas AG. In Silico Investigation of the Biological Implications of Complex DNA Damage with Emphasis in Cancer Radiotherapy through a Systems Biology Approach. Molecules 2021;26:7602. [PMID: 34946681 DOI: 10.3390/molecules26247602] [Reference Citation Analysis]
7 Morgan AE, Mc Auley MT. Cholesterol Homeostasis: An In Silico Investigation into How Aging Disrupts Its Key Hepatic Regulatory Mechanisms. Biology (Basel) 2020;9:E314. [PMID: 33007859 DOI: 10.3390/biology9100314] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
8 Morgan A, Mooney K, Wilkinson S, Pickles N, Mc Auley M. Mathematically modelling the dynamics of cholesterol metabolism and ageing. Biosystems 2016;145:19-32. [DOI: 10.1016/j.biosystems.2016.05.001] [Cited by in Crossref: 18] [Cited by in F6Publishing: 12] [Article Influence: 3.0] [Reference Citation Analysis]
9 McCormick MA, Promislow DEL. Recent Advances in the Systems Biology of Aging. Antioxid Redox Signal 2018;29:973-84. [PMID: 29020802 DOI: 10.1089/ars.2017.7367] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
10 Hoffman TE, Hanneman WH, Moreno JA. Network Simulations Reveal Molecular Signatures of Vulnerability to Age-Dependent Stress and Tau Accumulation. Front Mol Biosci 2020;7:590045. [PMID: 33195439 DOI: 10.3389/fmolb.2020.590045] [Reference Citation Analysis]
11 Colbey C, Cox AJ, Pyne DB, Zhang P, Cripps AW, West NP. Upper Respiratory Symptoms, Gut Health and Mucosal Immunity in Athletes. Sports Med 2018;48:65-77. [PMID: 29363055 DOI: 10.1007/s40279-017-0846-4] [Cited by in Crossref: 33] [Cited by in F6Publishing: 26] [Article Influence: 8.3] [Reference Citation Analysis]
12 Hoffman TE, Wallis LE, Hanneman WH. Mitochondrial avatars for quantitative aging research. Aging (Albany NY) 2018;10:301-2. [PMID: 29615538 DOI: 10.18632/aging.101409] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
13 Morgan AE, Mooney KM, Wilkinson SJ, Pickles NA, Mc Auley MT. Cholesterol metabolism: A review of how ageing disrupts the biological mechanisms responsible for its regulation. Ageing Res Rev 2016;27:108-24. [PMID: 27045039 DOI: 10.1016/j.arr.2016.03.008] [Cited by in Crossref: 83] [Cited by in F6Publishing: 63] [Article Influence: 13.8] [Reference Citation Analysis]
14 Mc Auley MT, Guimera AM, Hodgson D, Mcdonald N, Mooney KM, Morgan AE, Proctor CJ. Modelling the molecular mechanisms of aging. Biosci Rep 2017;37:BSR20160177. [PMID: 28096317 DOI: 10.1042/BSR20160177] [Cited by in Crossref: 43] [Cited by in F6Publishing: 18] [Article Influence: 8.6] [Reference Citation Analysis]
15 Pan XH, Chen YH, Yang YK, Zhang XJ, Lin QK, Li ZA, Cai XM, Pang RQ, Zhu XQ, Ruan GP. Relationship between senescence in macaques and bone marrow mesenchymal stem cells and the molecular mechanism. Aging (Albany NY) 2019;11:590-614. [PMID: 30673631 DOI: 10.18632/aging.101762] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
16 Wang Y, Lo WC, Chou CS. Modelling stem cell ageing: a multi-compartment continuum approach. R Soc Open Sci 2020;7:191848. [PMID: 32269805 DOI: 10.1098/rsos.191848] [Reference Citation Analysis]
17 Alfego D, Kriete A. Simulation of Cellular Energy Restriction in Quiescence (ERiQ)-A Theoretical Model for Aging. Biology (Basel) 2017;6:E44. [PMID: 29231906 DOI: 10.3390/biology6040044] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]